Answer:
108°
Explanation:
just follow my steps.
Which of the following statements is FALSE?
a.)
A larger sample size would increase the effectiveness of a hypothesis test.
b.)
Alpha (α) is equal to the probability of making a Type I error.
c.)
Expanding the sample size can increase the power of a hypothesis test.
d.)
Reducing the significance level (α) can increase a test's effectiveness.
The statement that is FALSE among the given options on hypothesis testing is;
Option D; Reducing the significance level (α) can increase a test's effectiveness.
This is about hypothesis testing.
Let us look at each of the options.
A) When we increase the sample size, it means the testing becomes more sensitive and as such we are more likely to reject the null hypothesis. Thus, it increases the effectiveness.B) Alpha (α) is defined as the probability of rejecting the null hypothesis. Thus it is the probability of making a Type I error.C) Expanding the sample size makes the hypothesis test to be more sensitive. That is makes it more likely to reject the null hypothesis when it is false and as such it increases the power of the test.D) The lower the significance level, the lower the power of the test and as such the lesser the tests effectiveness.Read more about hypothesis testing at; https://brainly.com/question/15980493
Can someone please help me with this question
The answer is C. (0,1). I believe.
According to Hebrews 11, what did Abraham believe God would do if Isaac was slain as a sacrifice?
Answer: He believed God would revive Isaac.
45,43,45,44,44,44,47
Using this data, create a dot plot where each dot represents a season.
this data, create a dot plot where each dot represents a season.